A Comparison: Three analysis Methods for Identifying Differentially Expressed Genes

摘要：

One of the main objectives in the analysis of microarray experiments is the identification of genes that are differentially expressed under two experimental conditions. Many analysis methods for identifying differentially expressed (DE) genes were developed. Here we compared three analysis methods which are the significance analysis of microarrays (SAM), the t-based meta-analysis (TB) and the rank product meta-analysis (RP).We found out strengths and weaknesses of the three analysis methods with respected to three measures, which we referred to as efficiency, stringency, and ability to handle heterogeneity. The TB is more efficient than the SAM and the RP. In addition, the RP is the best analysis method of the three with other two measures. We concluded that meta-analysis is a powerful tool for identifying differentially expressed genes.

关键词： differentially expressed gene SAM t-based meta-analysis rank product meta-analysis

作者: Tian Yuan Liu Gui-xia Zheng Ming Zhong Yi Zhou Chun-guang

作者单位: College of Computer Science and Technology Changchun, China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 2165-2169

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）